Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14EC26130E248793B41A383E9F7964776B2E58149CB940A1AD3FC93A953E7C83ED6705C |
|
CONTENT
ssdeep
|
384:15klBSWcQIx1XeVTre3VeQyexDe6ET9BUBVBTlBarAp:wwGi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7a4393cc6e53196 |
|
VISUAL
aHash
|
660164747600207c |
|
VISUAL
dHash
|
943bcdcccc1cc0c8 |
|
VISUAL
wHash
|
7f01f7f4f600207c |
|
VISUAL
colorHash
|
38000e00000 |
|
VISUAL
cropResistant
|
943bcdcccc1cc0c8 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 34 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)